We have provided a detailed analysis to show the fundamental difference between the concept of short memory and piecewise differential and integral operators. While the concept of short memory leads to different long tails in different intervals of time or space as a result of a power law with different fractional orders, the concept of piecewise helps to depict crossover behaviors of different patterns. We presented some examples with different numerical simulations. In some cases piecewise models led to transitional behavior from deterministic to stochastic, this is indeed the reason why this concept was introduced.
Citation: Abdon ATANGANA, Seda İǦRET ARAZ. Piecewise derivatives versus short memory concept: analysis and application[J]. Mathematical Biosciences and Engineering, 2022, 19(8): 8601-8620. doi: 10.3934/mbe.2022399
We have provided a detailed analysis to show the fundamental difference between the concept of short memory and piecewise differential and integral operators. While the concept of short memory leads to different long tails in different intervals of time or space as a result of a power law with different fractional orders, the concept of piecewise helps to depict crossover behaviors of different patterns. We presented some examples with different numerical simulations. In some cases piecewise models led to transitional behavior from deterministic to stochastic, this is indeed the reason why this concept was introduced.
[1] | M. Caputo, Linear model of dissipation whose Q is almost frequency independent-Ⅱ, Geophys. J. Int., 13 (1967), 529–539. https://doi.org/10.1111/j.1365-246X.1967.tb02303.x doi: 10.1111/j.1365-246X.1967.tb02303.x |
[2] | T.R. Prabhakar, A singular integral equation with a generalized Mittag-Leffler function in the kernel, Yokohama Math. J., 19 (1971), 7–15. |
[3] | M. Caputo, M. Fabrizio, A new definition of fractional derivative without singular kernel, Prog. Fract. Differ. Appl., 1 (2015), 73–85. https://doi.org/10.12785/pfda/010201 doi: 10.12785/pfda/010201 |
[4] | A. Atangana, D. Baleanu, New fractional derivatives with non-local and non-singular kernel: Theory and application to heat transfer model, Therm. Sci., 20 (2016), 763–769. https://doi.org/10.98/TSCI160111018A doi: 10.98/TSCI160111018A |
[5] | Podlubny I., Fractional differential equations, mathematics in science and engineering, Academic Press, 198 (1999). |
[6] | Y. Zhou, Y. Zhang, Noether symmetries for fractional generalized Birkhoffian systems in terms of classical and combined Caputo derivatives, Acta Mech., 231 (2020), 3017–3029. https://doi.org/10.1007/s00707-020-02690-y doi: 10.1007/s00707-020-02690-y |
[7] | W. Sumelka, B. Łuczaka, T. Gajewskia, G.Z. Voyiadjis, Modelling of AAA in the framework of time-fractional damage hyperelasticity, Int. J. Solids Struct., 206 (2020), 30–42. https://doi.org/10.1016/j.ijsolstr.2020.08.015 doi: 10.1016/j.ijsolstr.2020.08.015 |
[8] | J. Sabatier, Fractional-order derivatives defined by continuous kernels: Are they really too restrictive?, Fractal Fract., 4 (2020), 40. https://doi.org/10.3390/fractalfract4030040 doi: 10.3390/fractalfract4030040 |
[9] | G. C. Wu, Z. G. Deng, D. Baleanu, D. Q. Zeng, Fractional impulsive differential equations: Exact solutions, integral equations and short memory case, Fract. Calc. Appl. Anal., 22 (2019). https://doi.org/10.1515/fca-2019-0012 doi: 10.1515/fca-2019-0012 |
[10] | A. Atangana, S. Igret Araz, New concept in calculus: Piecewise differential and integral operators, Chaos Solit. Fract., 145 (2021). https://doi.org/10.1016/j.chaos.2020.110638 doi: 10.1016/j.chaos.2020.110638 |
[11] | W. H. Deng, Short memory principle and a predictor-corrector approach for fractional differential equations, J. Comput. Appl. Math., 206 (2007), 174–188. https://doi.org/10.1016/j.cam.2006.06.008 doi: 10.1016/j.cam.2006.06.008 |
[12] | A. Atangana, S. İğret Araz, Advanced analysis in epidemiological modeling: Detection of wave, MedRixv, (2021). https://doi.org/10.1101/2021.09.02.21263016 doi: 10.1101/2021.09.02.21263016 |
[13] | B. Ghanbari, D. Kumar, Numerical solution of predator-prey model with Beddington-DeAngelis functional response and fractional derivatives with Mittag-Leffler kernel, Chaos, 29 (2019). https://doi.org/10.1063/1.5094546 doi: 10.1063/1.5094546 |
[14] | G. Qi, G. Chen, M. A. Van Myk, B. J. Van Myk, Y. Zhang, A four-wing chaotic attractor generated from a new 3-D quadratic chaotic system, Chaos Solit. Fractals., 38 (2008), 705–721. https://doi.org/10.1016/j.chaos.2007.01.029 doi: 10.1016/j.chaos.2007.01.029 |
[15] | G. Qi, Z. Wang, Y. Guo, Generation of an eight-wing chaotic attractor from Qi 3-D four-wing chaotic system, Int. J. Bifurc. Chaos, 22 (2012). https://doi.org/10.1142/S0218127412502872 doi: 10.1142/S0218127412502872 |
[16] | T. Mekkoui, A. Atangana New numerical approximation of fractional derivative with non-local and non-singular kernel: Application to chaotic models, Eur. Phys. J. Plus, 132 (2017). https://doi.org/10.1140/epjp/s13360-022-02380-9 doi: 10.1140/epjp/s13360-022-02380-9 |
[17] | A. Atangana, S. Igret Araz, New numerical scheme with Newton polynomial: Theory, Methods and Applications, Academic Press, (2021). https://doi.org/10.1016/B978-0-12-775850-3.50017-0 |